Something unusual is happening in the AI world right now.

Anthropic is officially competing inside Microsoft’s own ecosystem. Claude is now generally available across Excel, PowerPoint, and Word, with Outlook currently in public beta - all while Anthropic’s models continue powering parts of Copilot behind the scenes.

The AI race is no longer just about who has the smartest model.
It’s becoming a battle for the workflows people use every single day.

Let’s dive into today’s biggest stories 👇

• 🚀 Claude Goes Live Across Microsoft 365
• 🛡️ Anthropic Mythos Uncovers Decade-Old Firefox Bugs

Anthropic’s Claude is now fully live across Microsoft Excel, PowerPoint, and Word with Outlook currently in public beta.

Here’s what’s changing 

• Claude for Excel, PowerPoint, and Word has officially moved out of beta and is now available on all paid plans.
• Conversations now continue seamlessly across apps, meaning your context follows your workflow.
• Companies like Deloitte, Bain & Company, ServiceNow, and Citadel are already integrating Claude into their Microsoft 365 environments.

What makes this interesting is how connected the experience has become.

An email in Outlook can now evolve directly into a Word memo, an Excel model, or a PowerPoint deck all within the same conversation thread. Update a number in Excel, and that change can automatically reflect in charts, presentations, and reports. At the same time, humans still stay in control through tracked edits, highlighted changes, and draft reviews before anything gets finalized.

The bigger shift here isn’t just AI inside productivity apps.
It’s the battle for workflow ownership.

Anthropic models already power parts of Microsoft Copilot behind the scenes, yet Anthropic is now also building a direct user experience inside the same ecosystem. That says a lot about where the AI market is heading.

The model itself is becoming interchangeable.
The real value is moving toward the workflows people use every single day.

Mozilla recently revealed that it used Anthropic’s Mythos model to identify and patch 271 high-severity bugs inside Firefox - including vulnerabilities that had remained hidden in the codebase for years.

Some of those bugs reportedly survived more than a decade of human reviews and traditional security testing.

The scale of change is massive:

• Firefox shipped 423 fixes in April 2026 alone
• A year earlier, that number was just 31
• Mythos handled bug discovery, while Mozilla engineers still reviewed and patched every issue manually

That balance is important.

AI is accelerating security research, but humans are still making the final decisions before fixes go live. Every patch reportedly passed through engineers for validation and review, keeping oversight firmly in place.

What’s even more interesting is the bigger industry shift this points to.

For decades, cybersecurity has favored whoever discovered vulnerabilities first - and too often, that advantage belonged to attackers. AI changes the equation by giving defenders the ability to scan enormous legacy codebases at a scale humans simply can’t match.

But there’s another side to this story too.

If AI can help defenders uncover hidden vulnerabilities faster, it can also give attackers the same advantage once these capabilities become widespread.

The next era of cybersecurity may not be defined by who has the best hackers.
It may be defined by who has the best AI systems finding weaknesses first.

That’s it for today.
The AI space doesn’t slow down - and neither should your thinking.
See you in the next drop